cosmos3-nano-transfer-auto generates driving videos and optional LiDAR from layout
controls and per-camera captions. Start with one failing example and choose the
matching section of the symptom guide.
Use the shared model contract for compatibility checks;
this model does not use the causal Sim-Auto inference workflow.
Collect one failing example
Collect the exact request/command, resolved config, checkpoint and weight variant, per-view text actually consumed, camera-key→control mapping, selected time span, one failing output with controls, and the error/log excerpt. Keep credentials and confidential source locations out of shared diagnostics.
For a video timing or dimension problem, first compare the actual files:
: "${TRANSFER_AUTO_CONTROL:?Set an existing local WSM video path}"
: "${TRANSFER_AUTO_RGB:?Set its corresponding local generated RGB video path}"
ffprobe -v error -select_streams v:0 \
-show_entries stream=width,height,r_frame_rate,avg_frame_rate,nb_frames:format=duration \
-of json "$TRANSFER_AUTO_CONTROL"
ffprobe -v error -select_streams v:0 \
-show_entries stream=width,height,r_frame_rate,avg_frame_rate,nb_frames:format=duration \
-of json "$TRANSFER_AUTO_RGB"
Inputs are the two actual files; outputs are metadata reports. Success means both
probe and their timing/dimensions agree with the resolved request after documented
preprocessing. If nb_frames is missing, count decoded frames. Inspect synchronized
frames to check view identity and event alignment.
Diagnose, correct, verify
Use the symptom guide to check likely causes, propose the smallest correction, and verify the affected inputs and outputs afterward. Preserve the original manifest, captions and outputs.
For side/rear failures, verify the camera mapping, controls and actual captions, then compare a reference input with the failing scene, changing one suspected factor at a time.
Return observations, hypotheses, the checks actually run, proposed corrections, and remaining uncertainty. Pass a corrected request to the inference Skill, or a state/topology issue to post-training.